Dr. Hugo Wruck Schneider

The main responsibility as a CSO is to propose innovative solutions to all projects such as BMW MLaptimer and BMW TouchCommand. Another assignment is to manage three squads: one for BigData projects, another for BI projects and the last for developing a data visualization tool.

Professor of iOS Developement and Fundaments of Artificial Intelligence/Machine Learning .

The responsibilities were: • First to guarantee that all projects developed in AIS Digital were design to be scalable and high available • Second to propose new technologies and validate them by creating prototypes • And three propose and stablish new business products, such as data analysis services, by absorbing, testing and disseminating the knowledge.

As a Full Stack and Mobile Developer, the main responsibility was to design solutions, select technologies that could improve productivity and deliver stable solutions, and develop them. The technologies employed were: Java, Spring Framework, BackboneJS, iOS Development, Android, Hibernate, JavaScript, Ruby on Rails, MySQL, PostgreSQL and others

The main responsibility were the integration, using C, of the banking and financial systems of Banco do Brasil to the banking services provided by Brazilian Post Office.

A member of the team responsible for the design and development of the geographic information module of the command and control system of the Brazilian Army. Technologies used: Qt Framework, C++, GEOS/GDAL, Proj4

A member of the development team of two products, Vipex and Cartorio Brasil. Technologies used: ASP.NET, Windows Services, ASP.NET MVC, C#, JQuery, Windows Server, Asterisk and SQL Server.

Responsible for the maintenance of the bioinformatics laboratory infrastructure and systems. Technologies: Linux, Unix, DNS and Firewall

All assignments were related to the ClarifyCRM, ranging from modules development and modules testing. Technologies: ClarifyCRM, Oracle Tuxedo, Oracle Database, Mercury LoadRunner, Mercury WinRunner, C, Load Testing and UML

Thesis: Distinguish long non-coding RNAs from protein coding transcripts using machine learning techniques Main topics: Python, C and R Development; Bioinformatics and Biostatistics; Machine Learning

Thesis: A multi-agent system for manual annotation of sequencing projects. Main topics: Java Development, Reinforcement Learning (Machine Learning), Bioinformatics

Main Topics: Java Development, Multi-agent Systems, Bioinformatics